Title: Spatial Channel Model Text Description File: Source
Generation of Channel Model
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- 2.8Calibration and Reference Values
- 3System Level Spatial Channel Model
- 3.1System Wide Definitions and Parameters
2.7Generation of Channel ModelThe proponent can determine the model implementation. Examples of implementations include correlation or ray-based techniques. Further details on examples of the model implementation are TBD. Outline of methodology, including doppler spectrum filter required for correlation method. 2.8Calibration and Reference ValuesFor the purpose of link level simulations, reference values of the average correlation are given below in Table 2 -2. The reference values are provided for the calibration of the simulation software and to assist in the resolution of possible errors in the simulation methods implemented. Specifically, the average complex correlation and magnitude of the complex correlation is reported between BS antennas and between MS antennas. The spatial parameter values used are those defined already throughout Section 2. Nokia to provide formulas for computing correlation matrices Table 2 2. Reference Correlation Values.
3System Level Spatial Channel ModelA Spatial Channel Model for use at the system level is described below. Parameter values and their ranges are specified to enable the generation of a Spatio-Temporal channel model for use in evaluating the system-level performance of multiple antenna schemes. The goal of this section is to define the methodology for generating the spatial channel coefficients between a given base and mobile for use in system level simulations. For a given base and mobile pair, this procedure consists of three basic steps
The remainder of this section gives the details for these steps. Figure X below provides a roadmap for generating the channel coefficients. (This diagram should be greatly expanded and should show which section numbers each of the items is discussed.) 
3.1System Wide Definitions and ParametersThe received signal at the MS consists of N time-delayed multipath replicas of the transmitted signal. These N paths are defined by powers and delays and are chosen randomly according to the channel generation procedure. Each path consists of M subpaths which will be described later. Figure 3 -6 shows the angular parameters used in the proposed model. The following definitions are used:  Base Station orientation. It is defined as the difference between the broadside of the BS array and a North (N) reference direction.
 Angle of the LOS direction between the BS and MS, referenced to the broadside of the BS array.
 mean angle of arrival difference for the nth (n = 1 … N) path relative to the LOS AOA .
 Absolute AOA for the mth (m = 1 … M) subpath of the nth path at the BS with respect to the BS broadside.
 Angle between the BS-MS LOS and the MS broadside.
 MS orientation. It is defined as the difference between the broadside of the MS array and the North reference direction.
 The angle reference of the MS velocity vector.
The angles shown in Figure 1 that are measured in a clockwise direction are assumed to be negative in value.  Figure 3 6 BS and MS angle parameters For system level simulation purposes, the fast fading per-path will be evolved in time, although bulk parameters including Angle Spread, Delay Spread, Log Normal Shadowing, and MS location will remain fixed during the evaluation of the given MS. Directory: tsg ran -> WG1 RL1 -> 3GPP 3GPP2 SCM 3GPP 3GPP2 SCM -> Scm-061 -confCall6-Summary Source: 3gpp – 3gpp2 scm ahg co-Chair Date tsg ran -> Title: Approved Report of the 25th 3gpp tsg ran wg4 meeting (Secaucus, nj, us 11th -15th November, 2002) Source: 3gpp support team Download 227.01 Kb. Share with your friends:
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